---
license: cc-by-nc-4.0
tags:
- generated_from_trainer
datasets:
- ccmatrix
metrics:
- bleu
model-index:
- name: nllb-en-id-ccmatrix
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: ccmatrix
      type: ccmatrix
      config: en-id
      split: train
      args: en-id
    metrics:
    - name: Bleu
      type: bleu
      value: 65.9837
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# nllb-en-id-ccmatrix

This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on the ccmatrix dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4791
- Bleu: 65.9837

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 4000
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu    |
|:-------------:|:-----:|:------:|:---------------:|:-------:|
| 0.606         | 1.0   | 28125  | 0.5249          | 64.1268 |
| 0.4943        | 2.0   | 56250  | 0.5043          | 64.7892 |
| 0.467         | 3.0   | 84375  | 0.4945          | 65.2331 |
| 0.4487        | 4.0   | 112500 | 0.4887          | 65.5512 |
| 0.4349        | 5.0   | 140625 | 0.4843          | 65.6806 |
| 0.4242        | 6.0   | 168750 | 0.4822          | 65.7774 |
| 0.416         | 7.0   | 196875 | 0.4801          | 65.8541 |
| 0.4098        | 8.0   | 225000 | 0.4800          | 65.9652 |
| 0.4052        | 9.0   | 253125 | 0.4788          | 65.9701 |
| 0.4023        | 10.0  | 281250 | 0.4791          | 65.9837 |


### Framework versions

- Transformers 4.26.1
- Pytorch 2.0.0
- Datasets 2.10.1
- Tokenizers 0.11.0